Media Summary: Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ... Dr. Bertsimas is the current Associate Dean of Business Analytics, Boeing Professor of Operations Research and faculty director ... CPAIOR 2022 talk by Nathanael Jo, Sina Aghaei, Andrés Gómez and

Phebe Vayanos Learning Optimal Classification - Detailed Analysis & Overview

Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ... Dr. Bertsimas is the current Associate Dean of Business Analytics, Boeing Professor of Operations Research and faculty director ... CPAIOR 2022 talk by Nathanael Jo, Sina Aghaei, Andrés Gómez and Part of MIP2020 online workshop: Poster Session 2: Machine CPAIOR 2022 talk by Nathan Justin, Sina Aghaei, Andres Gomez and A Google TechTalk, presented by Dmitrii Avdyukhin, 2023-02-21 ABSTRACT: We study the problem of

Discover the fascinating world of Approximate Nearest Neighbor (ANN) algorithms and how they revolutionize search efficiency!

Photo Gallery

Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos
Optimal classification trees robust to distribution shifts: Nathan Justin
Optimal Classification Trees and Interpretable AI by Dr. Dimitris Bertsimas of MIT
Optimal classification trees robust to distribution shifts: Nathan Justin
Learning Machines Seminar: Phebe Vayanos (University of Southern California) / April 14, 2023
CPAIOR 2022: Learning Optimal Fair Classification Trees
Sina Aghaei - Learning Optimal Classification Trees: Strong Max-Flow Formulations
CPAIOR 2022: Optimal Robust Classification Trees
Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization
Tree Learning: Optimal Algorithms and Sample Complexity
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Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)

Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)

Webpage of the webinar: https://sites.google.com/view/row-series/home.

Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains

Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains

Recorded 01 March 2023.

Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos

Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos

Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ...

Optimal classification trees robust to distribution shifts: Nathan Justin

Optimal classification trees robust to distribution shifts: Nathan Justin

ShowCAIS 2023:

Optimal Classification Trees and Interpretable AI by Dr. Dimitris Bertsimas of MIT

Optimal Classification Trees and Interpretable AI by Dr. Dimitris Bertsimas of MIT

Dr. Bertsimas is the current Associate Dean of Business Analytics, Boeing Professor of Operations Research and faculty director ...

Optimal classification trees robust to distribution shifts: Nathan Justin

Optimal classification trees robust to distribution shifts: Nathan Justin

ShowCAIS 2023:

Learning Machines Seminar: Phebe Vayanos (University of Southern California) / April 14, 2023

Learning Machines Seminar: Phebe Vayanos (University of Southern California) / April 14, 2023

TITLE

CPAIOR 2022: Learning Optimal Fair Classification Trees

CPAIOR 2022: Learning Optimal Fair Classification Trees

CPAIOR 2022 talk by Nathanael Jo, Sina Aghaei, Andrés Gómez and

Sina Aghaei - Learning Optimal Classification Trees: Strong Max-Flow Formulations

Sina Aghaei - Learning Optimal Classification Trees: Strong Max-Flow Formulations

Part of MIP2020 online workshop: https://sites.google.com/view/mipworkshop2020/home Poster Session 2: Machine

CPAIOR 2022: Optimal Robust Classification Trees

CPAIOR 2022: Optimal Robust Classification Trees

CPAIOR 2022 talk by Nathan Justin, Sina Aghaei, Andres Gomez and

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Part of Discrete Optimization Talks: https://talks.discreteopt.com

Tree Learning: Optimal Algorithms and Sample Complexity

Tree Learning: Optimal Algorithms and Sample Complexity

A Google TechTalk, presented by Dmitrii Avdyukhin, 2023-02-21 ABSTRACT: We study the problem of

Vector Search & Approximate Nearest Neighbors (ANN) | FAISS (HNSW & IVF)

Vector Search & Approximate Nearest Neighbors (ANN) | FAISS (HNSW & IVF)

Discover the fascinating world of Approximate Nearest Neighbor (ANN) algorithms and how they revolutionize search efficiency!